Anikethan Yenjalagere Balakrishnappa

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About

Anikethan Yenjalagere Balakrishnappa is a researcher at the forefront of robotic Additive Manufacturing (AM), where his work addresses critical challenges in industrial automation and 3D printing. His primary research areas include path planning for robotic systems, optimization of manufacturing processes, and the integration of multi-axis robots to overcome the limitations of traditional Cartesian systems. His most-cited paper, "A path planning method for robotic Additive Manufacturing" (2021, 4 citations), introduces a novel approach to enhance the quality and efficiency of AM by mitigating issues like the staircase effect and reducing the need for support structures in overhanging geometries. This contribution is pivotal for advancing the use of industrial robots in producing complex, high-quality parts without the constraints of conventional methods. With a growing citation count, Balakrishnappa's work is gaining recognition for its practical impact on reducing material waste and improving surface finish, making him a notable figure in the evolution of smart manufacturing. His research continues to inspire students and engineers exploring the intersection of robotics and additive technologies.